3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 1 cited
Adaptive Physics-informed Neural Networks: A Survey
Edgar Torres, Jonathan Schiefer, Mathias Niepert
Physics-informed neural networks (PINNs) have emerged as a promising approach to solving partial differential equations (PDEs) using neural networks, particularly in data-scarce sc…
cs.CL2024★ 3 cited
A Looming Replication Crisis in Evaluating Behavior in Language Models? Evidence and Solutions
Laurène Vaugrante, Mathias Niepert, Thilo Hagendorff
In an era where large language models (LLMs) are increasingly integrated into a wide range of everyday applications, research into these models' behavior has surged. However, due t…